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Semisupervised Learning for Computational Linguistics

About Semisupervised Learning for Computational Linguistics

Provides a broad treatment of the theory and linguistic applications of semisupervised methods. This book discusses natural language processing methods, such as self-training and co-training. It focuses on machine learning techniques, including the boundary-oriented methods of perceptrons, boosting, SVMs, and the null-category noise model.

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  • Language:
  • English
  • ISBN:
  • 9781584885597
  • Binding:
  • Hardback
  • Pages:
  • 322
  • Published:
  • September 16, 2007
  • Dimensions:
  • 161x243x23 mm.
  • Weight:
  • 612 g.
Delivery: 2-3 weeks
Expected delivery: December 12, 2024

Description of Semisupervised Learning for Computational Linguistics

Provides a broad treatment of the theory and linguistic applications of semisupervised methods. This book discusses natural language processing methods, such as self-training and co-training. It focuses on machine learning techniques, including the boundary-oriented methods of perceptrons, boosting, SVMs, and the null-category noise model.

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